Kriging based robust optimisation algorithm for minimax problems in electromagnetics

• Autorzy: Li Y. , Rotaru M. , Sykulski J. K.

Identyfikatory

DOI

10.1515/aee-2016-0059

• Języki publikacji: EN

Abstrakty

EN

The paper discusses some of the recent advances in kriging based worst-case design optimisation and proposes a new two-stage approach to solve practical problems. The efficiency of the infill points allocation is improved significantly by adding an extra layer of optimisation enhanced by a validation process.

Słowa kluczowe

EN

worst-case optimisation; minimax problems; kriging; robust design

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2016
• Tom: Vol. 65, nr 4
• Strony: 843--854
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wz.

Twórcy

autor

Li Y.

• Electronics and Computer Science University of Southampton Southampton, United Kingdom

autor

Rotaru M.

• Electronics and Computer Science University of Southampton Southampton, United Kingdom

autor

Sykulski J. K.

• Electronics and Computer Science University of Southampton Southampton, United Kingdom

Bibliografia

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• [14] Xiao S., Rotaru M., Sykulski J. K., Six Sigma Quality Approach to Robust Optimisation, IEEE Trans. Magn., vol. 51, no. 3 (2015).
• [15] Li Y., Xiao S., Rotaru M., Sykulski J. K., A Dual Kriging Approach with Improved Points Selection Algorithm for Memory Efficient Surrogate Optimisation in Electromagnetics, IEEE Transactions on Magnetics, vol. 52, no. 3, pp. 1-4 (2015).

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).